Data Scientist
Location: GB, , London
Employment type: Full-time
Required experience: Associate
Required education: Bachelor's Degree
Industry: Financial Services
Function: Data Analyst

Company profile:
At LendInvest fundamentally changing the way people think about their savings, investments and how you get a mortgage. We're the new generation of finance, which is far less stuffy as we are building a new way to do things - and having some fun along the way. If you want to be part of building the future of finance, then we'd love to hear from you. LendInvest has been prominently recognised as a leader for its growth and innovation. We are based in a prime central London building, with a very cool work environment.LendInvest is a direct employer and we therefore do not work with any recruitment agencies. Recruiters, please do not spam us, we are not interested in hearing from you.For a look at what we're creating, you can see more on our site at: #URL_a472ef05be663cdc9df7eb234d26330394196f039430435745cd6695790fd82e#

Job description:
About the Role:We are seeking a smart and motivated individual to join a fast-growing and exciting business. Reporting to Senior Management, this is a great opportunity to implement a data management system with a view to statistical analysis and modelling. The role is varied and key responsibilities will include considerable data manipulation and handling. A large proportion of time will be spent on data retrieval and formatting into various formats.About You:You’re frustrated by how little you know and love to dig deep to find the answersYou think statistical literacy is worth teaching and you’re willing to help.You feel an itch knowing that there’s an insight waiting to be discovered, and you know you can find it.You like working as part of a team, but are not afraid of taking responsibility for a task and seeing it through to completion, overcoming any dependencies.You understand the need to balance short and longer term benefits and are able to make a great case as to why to prioritise one ahead of the other in certain circumstances.You are open to learn and take feedback from peers and coach others to help improve the team’s collective capabilities – but are able to keep focus on the job in hand.You are an innovator who’s able to identify a great opportunity to solve a problem, be that through new processes, frameworks &amp; technologies or getting the most out of existing constraints.You are able to keep on top of your priorities, make accurate deliverable estimations, and have a high level of attention to detail.You want to play a valuable part in revolutionising the alternative finance sector, have done your research on LendInvest and strive for success.

Requirements:
Our Requirements:Degree qualification BSc, MSc or PhD in Math, Computer Science, Statistics or Econometrics;Experience with database management and Google Analytics;Knowledge of SQL and how to use APIs (JSON and/or XML etc.);Experience with programming (Python, VBA, Java) as well as web-logs and web-scraping tools;Experience with retrieval and processing large data sets and the ability to integrate and make sense of data from varied sources;Ideally some experience with data visualisation tools such as Tableau;Experience with data mining, statistical analysis, pattern detection and credit risk modelling experience gained at a consulting or major financial institution;Pro-active, self-starter with excellent communication skills;Experience with NoSQL, Linux, Java, Hadoop is a plus as is knowledge of statistical packages (SAS, SPSS, Matlab, R, etc) and MS ExcelYour Responsibilities:Develop a comprehensive business intelligence and data management system with responsibility for identifying and tracking Key Performance Indicators to aid strategic decision making;Provide analytical support for assessing credit risk and develop a credit risk model to increasingly automate the underwriting process;Expand existing set of data used in the credit underwriting process by evaluating information value of non-traditional data sources and by re-engineering use of existing datasets;Collect structured and unstructured data from the web, digital media and other social platforms;Evaluate ‘Big Data’ opportunities and work with technology to deploy new data sources;Perform various ad-hoc analysis for the marketing and business development functions

Benefits:
Lots of greenfield projectsOpportunity to attend conferences/seminars to expand your knowledge and further your educationAbility to choose a brand new work station of your choice (Dell with windows/Linux or MacBook with OSX)Fully stocked fridge and pantry with light breakfast available every day, fresh fruit and more food, beverages &amp; snacks than you could ever eat;Team lunch bought for you every FridaySubsidised gym membership (with pool)Opportunity to grow your career with our rapidly growing companyEasy commute to Central London office (Fitzrovia)Fun, young and very sociable team